How does Dutch Text Summarizer work?
- Extractive Summarization. This method identifies and selects key sentences from the original text to create a summary without altering the text's actual content.
- Abstractive Summarization. This technique generates summaries by rephrasing and paraphrasing the content, allowing the summarizer to convey the information in a new way.
- Natural Language Processing (NLP). NLP techniques are used to understand the structure and meaning of the text, which helps in generating coherent and contextually relevant summaries.
- Machine Learning. Machine learning algorithms learn from large datasets to improve the accuracy and quality of the summarization process over time.